tag: deep learning

Power/Performance Bits: March 27
By Jesse Allen - 27 Mar, 2018 - Comments: 0

Equalizing batteries Engineers at the University of Toledo propose a bilevel equalizer technology to improve the life span of batteries by combining the high performance of an active equalizer with the low cost of a passive equalizer. "Whenever we are talking about batteries, we are talking about cells connected in a series. Over time, the battery is not balanced and limited by the weakest ... » read more

When AI Goes Awry
By Ed Sperling - 26 Mar, 2018 - Comments: 0

The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems—or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise... » read more

Deep Learning Market Forces
By Mike Gianfagna - 22 Mar, 2018 - Comments: 0

Last week, eSilicon participated in a deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, we explored how our respective companies form an ecosystem to develop deep learning chips for the next generation of applications. We also had a keynote presentation on deep learning from Ty Garibay, C... » read more

The New Deep Learning Memory Architectures You Should Know About
By eSilicon - 21 Mar, 2018 - Comments: 0

Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

AI: The Next Big Thing
By Ed Sperling - 15 Mar, 2018 - Comments: 2

The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

Exponentials At The Edge
By Ed Sperling - 08 Mar, 2018 - Comments: 0

The age of portable communication has set off a scramble for devices that can achieve almost anything a desktop computer could handle even five years ago. But this is just the beginning. The big breakthrough with mobile devices was the ability to combine voice calls, text and eventually e-mail, providing the rudiments of a mobile office-all on a single charge of a battery that was light enou... » read more

Is Advanced Packaging The Next SoC?
By Ed Sperling - 05 Mar, 2018 - Comments: 1

Device scaling appears to be possible down to 1.2nm, and maybe even beyond that. What isn't obvious is when scaling will reach that node, how many companies will actually use it, or even what chips will look like when foundries actually start turning out these devices using multi-patterning with high-NA EUV and dielectrics with single-digit numbers of atoms. There are two big changes playing... » read more

SM2: A Deep Neural Network Accelerator In 28nm
By Flex Logix - 28 Feb, 2018 - Comments: 0

Deep learning algorithms present an exciting opportunity for efficient VLSI implementations due to several useful properties: (1) an embarrassingly parallel dataflow graph, (2) significant sparsity in model parameters and intermediate results, and (3) resilience to noisy computation and storage. Exploiting these characteristics can offer significantly improved performance and energy efficiency.... » read more

Who Will Regulate Technology?
By Ed Sperling - 22 Feb, 2018 - Comments: 0

Outside regulation and technological innovation don't mix well, particularly when it comes to modern electronics, but the potential for that kind of oversight is rising. In the past, most of the problems involving regulation stemmed from a lack of understanding about technology and science. This is hardly a new phenomenon. It literally dates back centuries. Galileo was forced to recant helio... » read more

Deconstructing Deep Learning
By Mike Gianfagna - 22 Feb, 2018 - Comments: 0

I discuss AI and deep learning a lot these days. The discussion usually comes back to “what is a deep learning chip?” These devices are basically hardware implementations of neural networks. While neural nets have been around for a while, what’s new is the performance advanced semiconductor technology brings to the party. Applications that function in real time are now possible. But wh... » read more

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